10 citations · 10 across the 3 of their papers we have counts for
3 papers
stat.AP2025
Deriving Duration Time from Occupancy Data -- A case study in the length of stay in Intensive Care Units for COVID-19 patients
Martje Rave, Göran Kauermann
This paper focuses on drawing information on underlying processes, which are not directly observed in the data. In particular, we work with data in which only the total count of un…
stat.AP2023
The Skellam Distribution revisited -Estimating the unobserved incoming and outgoing ICU COVID-19 patients on a regional level in Germany
Martje Rave, Göran Kauermann
With the beginning of the COVID-19 pandemic, we became aware of the need for comprehensive data collection and its provision to scientists and experts for proper data analyses. In…
stat.AP2022★ 10 cited
Statistical modelling of COVID-19 data: Putting Generalised Additive Models to work
Cornelius Fritz, Giacomo De Nicola, Martje Rave +5
Over the course of the COVID-19 pandemic, Generalised Additive Models (GAMs) have been successfully employed on numerous occasions to obtain vital data-driven insights. In this pap…